101 to 125 of 990 Python Jobs in London

will have likely used some of the below technologies: Ghidra or IDA Pro for reverse engineering. C, C++, Java or C# for solution creation. Python, Bash, Powershell or Groovy for prototyping and tool-making. Experience in supporting areas is also beneficial, which could include: AI and ML models and their ...

members. Profile Senior Data Engineer A successful Senior Data Engineer should have: Experience within the Insurance industry Strong proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database ...

technical and non-technical stakeholders Mentor junior engineers and contribute to team best practices This role is for you if you have: Strong Python ML experience (e.g. scikit-learn, XGBoost, PyTorch, or TensorFlow) Production experience with AWS ML services (e.g. SageMaker, Lambda, S3) Proven ability to move models from experimentation ...

proprietary media technology platform What we're looking for Experience delivering greenfield or early-stage products Strong skills in JavaScript/TypeScript, Python, or similar Cloud experience (GCP preferred), including serverless development Solid SQL and data warehouse experience (e.g. BigQuery) Experience with automation and modern front-end frameworks (e.g. React ...

experience applying data science and advanced analytics, underpinned by a strong quantitative education or equivalent professional background in a STEM discipline Strong proficiency in Python and associated libraries for data analysis, machine learning, and model development In-depth understanding of machine learning techniques, with experience delivering ...

including the ability to consume and integrate data from AWS. Advanced Excel skills and familiarity with SQL or other database query languages. Experience with Python or other programming languages for data manipulation and automation Proficiency in Tableau or similar reporting/visualization tools. Excellent analytical skills with the ability ...

time insights into user flows Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: Built modern full-stack applications (Python/Java/Go + React) Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object) Experience with async and bi-directional communication ...

data and cloud technologies . You will be utilising and playing with tools across the entire data ecosystem. 🚀Essential tech skills include proficiency in Python, Spark, and Airflow , alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery . 🚀Familiarity with data transformation and infrastructure as code tools ...

Excellent communication skills for interacting with technical and non-technical stakeholders. Desirable: Experience with Infrastructure as Code (Terraform), CI/CD pipelines, and scripting (Python, Bash, Perl). Strong understanding of cloud security best practices and tools. Hands-on experience with networking across cloud and on-premise systems (TCP/ ...

Data Engineer, Analytics Engineer or Technical Success/Customer Engineering role within a Data product or SaaS company You have indepth technical knowledge of Python for data workflows, SQL and Data Modelling, DBT, Cloud platforms (AWS, GCP or Azure), Workflow Orchestration tools (e.g. Airflow, Dagster, Prefect, DBT Cloud), CI/ ...

databases including designing data models and entirety relationship diagrams (ERDs) for business use cases. Visual Studio 2015+ desirable Proficiency in Vue.js and/or Python desirable Azure DevOps desirable. 1-2 years relevant industry experience Bachelor's or Master's degree in software Engineering, Computer Science or equivalent Please ...

Terraform, CloudFormation, Pulumi), configuration management, and CI/CD pipelines (GitHub Actions). Programming proficiency: Strong development skills in one or more of: Python, Go, Java, C#; ability to write production-quality automation scripts and tools. Developer enablement: Experience building internal tools, libraries and documentation for engineering teams. Legacy migration ...

images, audio, graphs, time series, and tabular data. Several years' experience as a data scientist in industry or related environments. Proficiency in Python and common ML/data libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Understanding of software and ML engineering best practices (git, package development, model deployment ...

engineers and contribute to a culture of innovation and collaboration. What We're Looking For 5+ years in software or data engineering, with strong Python, SQL, and TypeScript skills. Experience with enterprise data platforms, ideally Palantir technologies (Foundry, Gotham, or similar). Advanced knowledge of data engineering, ETL pipelines ...

data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience ...

Decho Lab’s innovation culture. What We’re Looking For 5+ years of experience in software/data engineering with proven expertise in Python, SQL, and TypeScript. Ideally experience with Palantir technologies (Foundry, Gotham, or similar platforms). Advanced knowledge of data engineering, ETL pipelines, and workflow design at enterprise ...

Java, SQL, Search Technologies, Messaging Technologies with a good understanding of Kubernetes, Dockers and preferably some exposure to GCP (Google Cloud Platform), ReactJS, Python, Big Data Technologies like Spark, Beam Excellent personal organisation, completer/finisher, consensus builder with excellent communication skills and able to lead global development teams both ...

related technical field. · 2–3 years of experience in data science, data analytics, or applied AI/ML engineering. · Strong programming skills in Python, ideally with ML libraries (NumPy, pandas, SciKit-Learn, TensorFlow, or PyTorch). · Experience with GIS tools (ArcGIS, QGIS) and geospatial data formats. · Solid understanding of machine ...

Physics, Computer Science). 4-5 years' experience in ML/AI engineering or data science roles (senior level). Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost). Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases ...

years building production backend systems (at least 3 years in high-scale or low-latency environments). Proficiency in one or more: Java/Python/C Rust/Go Strong preference for Java for control-plane/services. Strong systems design skills: concurrency, memory management, performance tuning, API design ...

relationships with clients as a technical advisor. Key Requirements: Proven experience as a Full Stack Data Engineer or similar engineering role. Strong skills in Python, SQL, and TypeScript. Experience with Palantir Foundry, Gotham, or comparable data platforms (preferred). Solid understanding of data engineering, ETL pipelines, and workflow orchestration. Interest ...

Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes of Python, Pyspark, SQL, Scala or Java. Experience operating in a cloud-native environment such as Azure, AWS, GCP etc ( Fabric experience would be beneficial ...

Proficiency in Prometheus, Grafana, and Dynatrace. •Strong knowledge of API design, data modelling, and pipelines. •Experience with automation, monitoring platforms, and scripting languages (e.g., Python, PowerShell, Bash, Terraform and Ansible) to enhance operational efficiency. •Strong communication and collaboration skills, with a track record of working effectively across technical ...

tested code Required Experience 2–5 years of professional software engineering experience, ideally working on backend systems, APIs, or AI-related products Proficiency in Python and JavaScript/TypeScript (Node.js) Strong understanding of backend architectures, REST/GraphQL APIs, and data modelling Experience with containerisation (Docker) and cloud platforms ...

Experience Experience in software quality assurance and test automation, specifically in finance applications. Proficiency in at least two of the following programming languages: Java, Python, or C#. Strong understanding of software testing principles and hands-on experience with automation frameworks (e.g., Selenium, Cucumber, TestNG). Experience in CI/ ...